Travis I. Moore
Impact in
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research
- Cell Biology top 10%
- Cellular Mechanics and Interactions
Papers in
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- Fungal and yeast genetics research 4
-
- Cellular Mechanics and Interactions 3
- Co-authors
- Timothy A. Springer (3 shared papers)Tau‐Mu Yi (4 shared papers)Noo Li Jeon (3 shared papers)Ching‐Shan Chou (3 shared papers)Qing Nie (3 shared papers)Tomomi Tani (2 shared papers)Satyajit Mayor (2 shared papers)Rudolf Oldenbourg (2 shared papers)
- Journals
- Nature Communications (2 papers)Cell Reports (2 papers)Blood (2 papers)Proceedings of the National Academy of Sciences (2 papers)Journal of the American College of Cardiology (2 papers)
- Partner nations
- United StatesJapanSouth Korea
In The Last Decade
Travis I. Moore
17 papers receiving 505 citations
Peers
Comparison fields: 5 of 85
- Immunology and Allergy 101
- Cell Biology 156
- Biophysics 40
- Immunology 93
- Structural Biology 6
Countries citing papers authored by Travis I. Moore
This map shows the geographic impact of Travis I. Moore's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Travis I. Moore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Travis I. Moore more than expected).
Fields of papers citing papers by Travis I. Moore
This network shows the impact of papers produced by Travis I. Moore. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Travis I. Moore. The network helps show where Travis I. Moore may publish in the future.
Co-authors
The 25 scholars most cited alongside Travis I. Moore, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 94 | |
| 2 | 2008 | 94 | |
| 3 | 2017 | 73 | |
| 4 | 2008 | 61 | |
| 5 | 2006 | 50 | |
| 6 | 2018 | 46 | |
| 7 | 2024 | 17 | |
| 8 | 2004 | 17 | |
| 9 | 2012 | 17 | |
| 10 | 2012 | 13 | |
| 11 | 2022 | 12 | |
| 12 | 2012 | 6 | |
| 13 | 2024 | 5 | |
| 14 | 2024 | 3 | |
| 15 | 2014 | 2 | |
| 16 | 2003 | 1 | |
| 17 | Marine source ω-3 fatty acid, docosahexaenoic acid (DHA), inhibits human colorectal cancer growth through multiple mechanisms depending on the mutational status of p53 protein | 2005 | 1 |
| 18 | 2025 | 0 | |
| 19 | 2025 | 0 | |
| 20 | 2025 | 0 |
About Travis I. Moore
Travis I. Moore is a scholar working on Molecular Biology, Cell Biology, Immunology and Allergy, Immunology and Cellular and Molecular Neuroscience, having authored 20 papers that have together received 512 indexed citations. Recurring topics across this work include Fungal and yeast genetics research (4 papers), T-cell and B-cell Immunology (3 papers), Cellular Mechanics and Interactions (3 papers), Cell Adhesion Molecules Research (3 papers), Metabolism and Genetic Disorders (2 papers), Photodynamic Therapy Research Studies (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Immunology and Allergy (101 citations), Cell Biology (156 citations), Biophysics (40 citations), Immunology (93 citations) and Structural Biology (6 citations). Travis I. Moore has collaborated with scholars based in United States, Japan and South Korea. Frequent co-authors include Timothy A. Springer, Tau‐Mu Yi, Noo Li Jeon, Ching‐Shan Chou, Qing Nie, Tomomi Tani, Satyajit Mayor, Rudolf Oldenbourg, Shalin B. Mehta and Nobuyasu Koga. Their work appears in journals such as Nature Communications, Cell Reports, Blood, Proceedings of the National Academy of Sciences and Journal of the American College of Cardiology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.